Solving Large Regression Problems using an Ensemble of Gpu-Accelerated Elms
Abstract
This Paper Presents an Approach that Allows for Performing Regression on Large Data Sets in Reasonable Time. the Main Component of the Approach Consists in Speeding Up the Slowest Operation of the Used Algorithm by Running It on the Graphics Processing Unit (Gpu) of the Video Card, Instead of the Processor (Cpu). the Experiments Show a Speedup of an Order of Magnitude by using the Gpu, and Competitive Performance on the Regression Task. Furthermore, the Presented Approach Lends itself for Further Parallelization, that Has Still to Be Investigated.
Recommended Citation
M. van Heeswijk et al., "Solving Large Regression Problems using an Ensemble of Gpu-Accelerated Elms," Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010, pp. 309 - 314, European Symposium on Artificial Neural Networks, Dec 2010.
Department(s)
Engineering Management and Systems Engineering
International Standard Book Number (ISBN)
978-293030710-7
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 European Symposium on Artificial Neural Networks, All rights reserved.
Publication Date
01 Dec 2010
